Batch Analysis of Digital Images to Evaluate Turfgrass Characteristics
By D. Karcher, M. Richardson. 2005
237 citations recorded by the source corpus.
Subfields: Ecology, Environmental Chemistry, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/8fe586c340e59896cbdd263865015c266e848280
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Tyson E. Ochsner
- Willibald Loiskandl
- Gernot Bodner
- Jeffrey T. Edwards
- M. Himmelbauer
- R. Lollato
- Andres Patrignani
- H. Kaul
In Environmental Chemistry
- R. Lollato
- Tyson E. Ochsner
- Willibald Loiskandl
- Gernot Bodner
- Jeffrey T. Edwards
- M. Himmelbauer
- Andres Patrignani
- H. Kaul
In Nature and Landscape Conservation
- Tyson E. Ochsner
- Willibald Loiskandl
- Gernot Bodner
- Jeffrey T. Edwards
- M. Himmelbauer
- R. Lollato
- Andres Patrignani
- H. Kaul
Citations in the corpus
- Maximum Attainable Wheat Yield and Resource‐Use Efficiency in the Southern Great Plains (2015, methodology): “0, Systat Software, Point Richmond, CA) as described by Karcher and Richardson (2005). The software has selectable options defining hue and saturation values, which in this study were set for 30 to 150 and 0 to 115, respectively.”
- Improved evaluation of cover crop species by growth and root factors (2010, methodology): “Canopy cover of the crops was measured four times during the growing period by image analysis of digital pictures according to Karcher and Richardson (2005).”
- Canopeo: A Powerful New Tool for Measuring Fractional Green Canopy Cover (2015, methodology): “Many ACT approaches are based on the selection of saturation and hue threshold values, but finding the optimal thresholds is difficult, and threshold settings differ when using images taken under different light intensities and backgrounds (Karcher and Richardson, 2005).”